Affordability ratios calculated by dividing house prices by gross annual residence-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

Small changes in estimates between years should be treated with caution as they may not be statistically significant.

Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

The purpose of the HIES survey is to obtain information on the income, consumption pattern, incidence of poverty, and saving propensities for different groups of people in Federated States of Micronesia (FSM). This information will be used to guide policy makers in framing socio-economic developmental policies and in initiating financial measures for improving economic conditions of the people. Some more specific outputs from the survey are listed below: a) To obtain expenditure weights and other useful data for the revision of the consumer price index; b) To supplement the data available for use in compiling official estimates of household accounts in the systems of national accounts; c) To supply basic data needed for policy making in connection with social and economic planning, including producing as many of FSM's National Minimum Development Indicators (NMDI's) as possible; d) To provide data for assessing the impact on household living conditions of existing or proposed economic and social measures, particularly changes in the structure of household expenditures and in household consumption; e) To gather information on poverty lines and incidence of poverty throughout FSM.

Version 01: Cleaned, labelled and anonymized version of the Master file.

There were 5 Modules altogether which refers to different scope of the surveys.

Module 1 - contains Demographic Information:
- Demographic Profile
- Labor Force Status
- Health Status
- Communication Status

Module 2 - collects information on Household Expenditure which include:
- Housing Characteristics
- Housing Tenure Expenditure
- Utilities & Communication Details
- Utilities & Communication Expenditure
- Land & Home Details
- Land & Home Expenditure
- Household Goods & Assets Details
- Household Goods & Assets Expenditures
- Vehicles & Accessories Details
- Vehicles & Accessories Expenditures
- Private Travel Details
- Private Travel Expenditures
- Household Services Expenditure
- Contributions to Special Occasions
- Provisions of Financial Support
- Loans
- Household Assets Insurance & Taxes
- Personal Insurance

Module 3 - Individual Expenditures:
- Education grants and scholarships
- Education Identification
- Education Expenditures
- Health Identification
- Health Expenditures
- Clothing Identification
- Clothing Expenditure
- Communication Identification
- Communication Expenditures

Module 4 - Income:
- Wages & Salary: In country (current)
- Wages & Salary: Overseas (last 12 months)
- Wages & Salary: In country (last 12 months)
- Income from Non Subsistence Business
- Description of Agriculture & Forestry Activities
- Income from Agriculture & Forestry Activities
- Description of Handicraft & Home Processed Food Activities
- Income from Handicraft & Home Processed Food Activities
- Description of Livestock & Aquaculture Activities
- Income from Livestock & Aquaculture Activities
- Description of Fishing & Hunting Activities
- Income from Fishing & Hunting Activities
- Property Income, Transfer Income & Other Receipts
- Remittances & Other Cash Gifts

Weekly Diary - Covering 14 Days (2 weeks):
- Daily Expenditure of food and non-food items
- Payments of Service made
- Gambling winning and losses
- Items received for free
- Home Produced food and non-food items

• Collection start: 2013
• Collection end: 2014

Context

This dataset was created by our in house teams at PromptCloud and DataStock. This dataset contains around 30K records in it. You can download the dataset here.

Content

This dataset contains the following: Total Records Count: 325946  Domain Name:: indeed.com  Date Range: 01st Aug 2019 - 31st Oct 2019   File Extension: csv

Available Fields : Job Title, Job Description, Job Type, Categories, Location, City, State, Country, Zip Code, Address, Salary From, Salary To, Salary Period, Apply Url, Apply Email, Employees, Industry, Company Name, Employer Email, Employer Website, Employer Phone, Employer Logo, Company description, Employer Location, Employer City, Employer State, Employer Country, Employer Zip Code, Uniq Id, Crawl Timestamp 

Acknowledgements

We wouldn't be here without the help of our teams at PromptCloud and DataStock.

Inspiration

This dataset was created keeping in mind the data scientists and data analysts.